Fullcent Capital

Total investments

2

Average round size

72M

Portfolio companies

2

Exits

1

Stages of investment
Early Stage Venture
Areas of investment
SoftwareFinancial ServicesFinTechInformation TechnologyConsumerPaymentsEducationCredit

Summary

The leading representative office of defined VC is situated in the Beijing. The venture was found in Asia in China.

The top activity for fund was in 2018. The common things for fund are deals in the range of more than 100 millions dollars. The fund is constantly included in less than 2 deals per year.

Besides, a startup requires to be at the age of 1 and less years to receive the investment from the fund. For fund there is a match between the location of its establishment and the land of its numerous investments - China. Among the most popular portfolio startups of the fund, we may highlight Black Fish. Among the most successful fund investment fields, there are Credit, Consumer.

The typical case for the fund is to invest in rounds with 6 participants. The meaningful sponsors for the fund in investment in the same round are Tao Zhang, Morningside Venture Capital, Lightspeed China Partners. In the next rounds fund is usually obtained by Rakuten Capital, Morningside Venture Capital, Lightspeed China Partners.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Exits
1
Investments by industry
  • Information Technology (1)
  • Education (1)
  • Software (1)
  • Consumer (1)
  • Financial Services (1)
  • Show 3 more
Investments by region
  • China (2)
Peak activity year
2016

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
1M
Group Appearance index
1.00
Avg. company exit year
3
Avg. multiplicator
6.67

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Black Fish 10 Jan 2018 Financial Services, FinTech, Consumer, Payments, Credit Early Stage Venture 145M Jiangsu, Xuanwu District, China

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How we get our data

At Unicorn Nest, we combine cutting-edge technology with human expertise to build one of the most reliable venture capital databases in the market. Our process begins with automated AI-enhanced data collection, leveraging the full potential of Large Language Models (LLMs).

Later, our team of analysts takes it further with manual verification, using proprietary tools for data cleaning and validation to ensure accuracy and reliability. We cross-check and enhance our findings through press and media monitoring, integrating information from trusted news outlets and venture capital aggregators. Finally, we stay ahead of the curve by monitoring social networks like LinkedIn and X.com.